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Tempo and mode of genome evolution in a 50,000-generation experiment

  • Olivier Tenaillon
  • , Jeffrey E. Barrick
  • , Noah Ribeck
  • , Daniel E. Deatherage
  • , Jeffrey L. Blanchard
  • , Aurko Dasgupta
  • , Gabriel C. Wu
  • , Sébastien Wielgoss
  • , Stéphane Cruveiller
  • , Claudine Médigue
  • , Dominique Schneider
  • , Richard E. Lenski
  • UMR 1137
  • The University of Texas at Austin
  • Michigan State University
  • Michigan State University
  • UMass Amherst
  • Washington University School of Medicine in St. Louis
  • ETH Zurich
  • LTHE (UMR 5564 CNRS/IRD/Université de Grenoble)
  • Université d'Evry Val d'Essonne
  • TIMC-IMAG

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Adaptation by natural selection depends on the rates, effects and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. Here we analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model in which most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.

langue originaleAnglais
Pages (de - à)165-170
Nombre de pages6
journalNature
Volume536
Numéro de publication7615
Les DOIs
étatPublié - 3 août 2016
Modification externeOui

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